tf.contrib.bayesflow.stochastic_tensor.ExponentialWithSoftplusLamTensor.distribution

tf.contrib.distributions.StudentT.mean(name='mean') Mean. Additional documentation from

tf.contrib.bayesflow.stochastic_tensor.WishartFullTensor.name

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)

tf.contrib.distributions.WishartFull.get_event_shape() Shape of a single sample from a single batch as a TensorShape

tf.contrib.framework.get_or_create_global_step(graph=None) Returns and create (if necessary) the global step variable.

tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.dtype

tf.contrib.distributions.MultivariateNormalFull.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape)

tf.erf(x, name=None) Computes the Gauss error function of x element-wise. Args:

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.mu Locations of these Student's t distribution(s).